{"title":"OCA: A Shiny web application for transparent overload compensation in higher education","authors":"Dawit Aberra, Xiangyan Zeng, Chunhua Dong Mahon, Sanjeev Arora","doi":"10.1016/j.softx.2025.102375","DOIUrl":null,"url":null,"abstract":"<div><div>OCA (Overload Compensation App) is an interactive Shiny web application that automates faculty overload pay calculations in accordance with institutional policy and enables users to visualize the results. Designed to promote transparency, reproducibility, and fairness, OCA allows academic administrators to filter, compute, and export overload data across instructors and departments. The app supports strategic blending between institution- and instructor-favoring approaches, offering both flexibility and clarity in compensation planning. OCA is open-source, released under the AGPL-3 license, and requires no programming expertise to use.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"32 ","pages":"Article 102375"},"PeriodicalIF":2.4000,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711025003413","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
OCA (Overload Compensation App) is an interactive Shiny web application that automates faculty overload pay calculations in accordance with institutional policy and enables users to visualize the results. Designed to promote transparency, reproducibility, and fairness, OCA allows academic administrators to filter, compute, and export overload data across instructors and departments. The app supports strategic blending between institution- and instructor-favoring approaches, offering both flexibility and clarity in compensation planning. OCA is open-source, released under the AGPL-3 license, and requires no programming expertise to use.
期刊介绍:
SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.